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Finance

Actuary

Based on 37 assessments · 1 from real users

32% Moderate risk

Average realistic automation risk across all Actuary profiles in the dataset.

Raw potential
68%
Realistic risk
32%
Research benchmark ?
54%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 37 profiles. Middle half of Actuarys score between 28% and 36%.

0% 50% 100%
p10 · 24%
40% · p90
On-screen work 57%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 23%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 14%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 6%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Actuary, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Monitoring industry trends, regulatory changes, and emerging risks (e.g., climate change, cyber threats) to adjust models and strategies accordingly.
deep expertise social element
29% AD 18%
Analyzing complex datasets to determine pricing for insurance policies, ensuring profitability while remaining competitive in the market.
deep expertise social element
27% DD 24%
Developing and maintaining statistical models to predict future insurance claims and financial risks, using historical data and specialized software like Emblem or Radar.
17% DD 57%
Preparing reports and presentations for executives or clients, explaining risk assessments, financial projections, and recommendations in clear, non-technical language.
deep expertise
11% DA 4%
Collaborating with underwriters to assess the risk of potential clients and determine appropriate coverage and premiums based on actuarial models.
deep expertise
9% AD 6%
Providing expert testimony or consulting in legal cases involving insurance disputes, regulatory inquiries, or financial audits.
deep expertise
1% AA 1%
Reviewing and updating insurance contract terms and conditions to ensure compliance with regulations and alignment with company risk appetite.
deep expertise social element
1% DD 27%
Validating and testing the accuracy of actuarial models through back-testing and stress scenarios to ensure reliability under different conditions.
1% DD 62%

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